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Tying mechanism for airlines’ air cargo capacity allocation

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  • Feng, Bo
  • Li, Yanzhi
  • Shen, Huaxiao

Abstract

Airlines commonly experience the problem that the sum of freight forwarders’ orders exceeds the airline's fixed capacity for hot-selling routes, while the orders are usually <50 percent for underutilized routes. Airlines cannot dynamically change flights to address the imbalance, since they have to serve passenger traffic when carrying cargo in the belly space of passenger flights. The imbalance problem is likely to become even more severe when the number of wide-body passenger aircraft increases in the near future, as expected by the International Air Transport Association (IATA). Motivated by a joint project with a large airline, we propose a tying mechanism for capacity allocation by integrating hot-selling routes and underutilized routes. The strategic foreclosure theory is adopted in the proposed mechanism. Some forwarders are selected as the partners to whom more capacity of hot-selling routes are allocated with the condition that they will order more underutilized routes. Other “excluded” forwarders temporarily operate underutilized routes. By observing the cost structure information of forwarders, we design the tying mechanism for air cargo capacity allocation and derive the closed-form optimal solution. Using data from the airline, we demonstrate that the proposed tying capacity allocation mechanism is very effective.

Suggested Citation

  • Feng, Bo & Li, Yanzhi & Shen, Huaxiao, 2015. "Tying mechanism for airlines’ air cargo capacity allocation," European Journal of Operational Research, Elsevier, vol. 244(1), pages 322-330.
  • Handle: RePEc:eee:ejores:v:244:y:2015:i:1:p:322-330
    DOI: 10.1016/j.ejor.2015.01.014
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    2. Song, Zhuzhu & Tang, Wansheng & Zhao, Ruiqing, 2017. "Ocean carrier canvassing strategies with uncertain demand and limited capacity," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 104(C), pages 189-210.
    3. Shaban, I.A. & Wang, Z.X. & Chan, F.T.S. & Chung, S.H. & Eltoukhy, A.E.E. & Qu, T., 2019. "Price setting for extra-baggage service for a combination carrier using the newsvendor setup," Journal of Air Transport Management, Elsevier, vol. 78(C), pages 1-14.
    4. Yu, Shunan & Yang, Zhongzhen & Yu, Bin, 2017. "Air express network design based on express path choices – Chinese case study," Journal of Air Transport Management, Elsevier, vol. 61(C), pages 73-80.
    5. Bierwirth, Benjamin & Schocke, Kai-Oliver, 2017. "Lead-time optimization potential of digitization in air cargo," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Blecker, Thorsten & Ringle, Christian M. (ed.), Digitalization in Supply Chain Management and Logistics: Smart and Digital Solutions for an Industry 4.0 Environment. Proceedings of the Hamburg Inter, volume 23, pages 75-98, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    6. Qing, Qiankai & Deng, Tianhu & Wang, Hongwei, 2017. "Capacity allocation under downstream competition and bargaining," European Journal of Operational Research, Elsevier, vol. 261(1), pages 97-107.
    7. Anshu Agrawal, 2021. "Sustainability of airlines in India with Covid-19: Challenges ahead and possible way-outs," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 20(4), pages 457-472, August.

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